Measuring entrepreneurial spirit within an organization first requires identifying what is observed: the ability of employees to propose projects, to experiment without waiting for a directive, and to transform a daily irritant into a concrete initiative. In France, the rapid spread of artificial intelligence in organizations of all sizes is reshaping this scope.
The share of companies with 10 or more employees using at least one AI technology increased from 6% in 2023 to 18% in 2025 according to Insee. This leap changes how entrepreneurial spirit manifests, is measured, and is structured.
AI Adoption and Intrapreneurship: What the Numbers Reveal
Intrapreneurship is not decreed in a charter displayed in the break room. It is reflected in concrete practices. The tripling of the AI adoption rate in two years reflects a dynamic where teams test, automate, and create internal tools without waiting for formal hierarchical approval.
| Indicator | 2023 | 2025 | Interpretation |
|---|---|---|---|
| Companies (10+ employees) using AI | 6% | 18% | Tripling in two years |
| AI competency requirement (European regulation) | Not applicable | Applicable since February 2025 | Transition from free experimentation to a regulated framework |
This table contrasts two realities. On one side, the speed of adoption. On the other, the arrival of a constraining framework. The European regulation on artificial intelligence requires companies to ensure a sufficient level of AI competency among personnel using these systems. In other words, technological experimentation can no longer remain an informal initiative driven by a few curious profiles.
For organizations that cultivate entrepreneurial spirit, this convergence creates a lever: structuring the upskilling in AI becomes an intrapreneurship project in itself. Resources like espritdentreprise.com document this connection between regulatory framework and internal entrepreneurial dynamics.
AI Governance: The Foundation of a Sustainable Corporate Culture
A common mistake is to separate corporate culture from technological governance, as if one pertains to human resources and the other to information systems management. The European regulation on AI makes this separation untenable.
Why Social Dialogue Changes the Game
The integration of AI into work processes directly affects employment conditions, cognitive load, and expected skills. Without consulting employee representative bodies, the deployment of an AI tool can generate distrust rather than engagement.
Companies that involve the CSE early in the deployment process see faster buy-in from teams. Social dialogue then becomes an accelerator of entrepreneurial spirit, not an administrative hindrance. Involving the CSE in AI deployment accelerates employee buy-in and reduces organizational resistance.
Three Concrete Governance Levers
- Formalize a charter for AI usage that specifies authorized cases, mobilizable data, and the responsibilities of each user, in accordance with current European requirements
- Create a mixed committee (management, employee representatives, technical referents) responsible for evaluating experiments before their generalization
- Integrate an AI training module into the onboarding process so that each new employee has the foundational skills required by regulation
These levers are not theoretical management concepts. They respond to a legal obligation while structuring the space for initiative that the organization offers its teams.
Generational Renewal and the Entrepreneurial Spirit of Employees
The generational question is often addressed in terms of salary expectations or remote work. The entrepreneurial angle is more revealing. According to Bpifrance Le Lab, 6 out of 10 young people are engaged in entrepreneurship, whether through creation, projects, or declared intentions.
This figure has a direct consequence for organizations recruiting these profiles. An employee who has considered or attempted to create their own structure does not wait for someone to explain the company’s mission on a slide. They expect a space to act.
However, this entrepreneurial mindset quickly dissipates in a structure where decisions are systematically escalated to the top. The gap between the entrepreneurial energy at entry and the perceived organizational rigidity after a few months is one of the primary factors for early departure.
Conditions to Capture This Entrepreneurial Energy
- Delegate responsibility for cross-functional projects from the first months, with a defined budget and timeline
- Make the results of internal initiatives visible (internal communication, feedback open to the entire organization)
- Accept documented failure as a value-generating outcome, not as grounds for reprimand
Entrepreneurial spirit within an organization is not just a slogan about values. It is measured by the speed at which an idea proposed by an employee becomes a tested project.
Cybersecurity and Experimentation: A Balance to Strike
Encouraging technological initiative without a security framework is like opening a lab without a fume hood. The proliferation of AI tools adopted informally (shadow AI) exposes the organization to data leaks and regulatory non-compliance.
Entrepreneurial spirit implies freedom of experimentation. Cybersecurity implies control over data flows. Reconciling these two demands requires an explicit framework, not silent tolerance.
Organizations that formalize a secure testing environment (sandbox) allow employees to experiment with AI solutions without risking production data. This technical setup becomes a cultural signal: the company takes both individual initiative and collective protection seriously.
The rate of AI adoption, the existence of formalized governance, the average time between an idea and its prototyping, the level of CSE consultation on technological projects: these indicators paint a more reliable picture of entrepreneurial spirit than any satisfaction barometer. The organization that knows how to read them has a concrete advantage in retaining its most enterprising profiles.
